Archaeology

Archaeology graduate researchers

Our graduate researchers and their thesis titles.

Name (sorted in ascending order) Thesis title
Junaid Ahmad Archaeological identity of the Hindu Shahis of Kabul and Gandhara: A Review
Courtney Astrom Comparative Projectile Trauma: An Examination of the Differences in Skeletal Trauma Inflicted by Multiple Classifications of Projectile Weapons
Andy Barlow Cotton Town Blues - investigating inequality through stable isotope analysis, in a 19th century cemetary population of Blackburn, Lancashire
Angela Boyle Violence and conflict in south-east Scotland from c AD 400 to AD 850: a biocultural study.
Monique De Pace An investigation of health and disease in Mesambria, Bulgaria through physiological stress markers and dietary reconstruction
Guillermo Diaz de Liano del Valle The Study of personhood through the analysis of funerary evidence: the Southeastern Iberian Peninsula during the Chalcolithic and Bronze Ag
Graeme Erskine The Roman roads of northern Britain
Laura-Kate Girdwood A comparative analysis of the evolution of stable isotope dietary data and oral health pathologies through the historic period in two contrasting populations: Scotland and Ibiza, Spain.
Roxanne Guildford Beyond Counting Sheep: an review of data analysis in zooarchaeology
Lauren Ide (Cassidy) Toil and Trade: Functional Bone Adaptation and Social Allocations of Labour in Urban Medieval Scotland
Ms Emily Johnston Creating a Framework for Community Engagement in Scottish Commercial Archaeology
Mara Karell Identifying the Disappeared: Testing a Novel Method for the Sorting of Commingled Human Remains
Kirsty Lilley Carving out communities: funerary architecture as expressions of identity in Pre-Nuragic Sardinia
Alicia Núñez-García Connecting Worlds: Early Phoenician Presence Across Atlantic Iberia (8th-6th Centuries BC)
Andrzej Romaniuk Rethinking established methodology in micromammal taphonomy: Archaeological case studies from Orkney, UK (4rd millennium BC – 15th century AD)
Leo Sucharyna Thomas (Provisional) Mesolithic site prediction using enhaced landscape modelling.